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HMS: A Predictive Text Entry Method using Bigrams

In English

Författare

Summary, in English

Due to the emergence of SMS messages, the significance of effective text entry on limited-size keyboards has increased. In this paper, we describe and discuss a new method to enter text more efficiently using a mobile telephone keyboard. This method, which we called

HMS, predicts words from a sequence of keystrokes using a dictionary and a function combining bigram frequencies

and word length.



We implemented the HMS text entry method on a software-simulated mobile telephone keyboard and we compared it

to a widely available commercial system. We trained the language model on a corpus of Swedish news and we evaluated the method. Although the training corpus does not reflect the language used in SMS messages, the results show a decrease by 7 to 13 percent in the number

of keystrokes needed to enter a text. These figures are very encouraging even though the implementation can be optimized in several ways. The HMS text entry method can easily be transferred to other languages.

Publiceringsår

2003

Språk

Engelska

Sidor

43-49

Publikation/Tidskrift/Serie

Proceedings of the Workshop on Language Modeling for Text Entry Methods

Dokumenttyp

Konferensbidrag

Ämne

  • Computer Science

Conference name

Workshop on Language Modeling for Text Entry Methods, 10th Conference of the European Chapter of the Association of Computational Linguistics

Conference date

2003-04-14

Status

Published